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Updated: May 20, 2025

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Transcriptome and Weighted Gene Co-Expression Network Analysis to Characterize the Expression of Genes Related to
Qianchao Wang1, Chuanli Zhang1, Yirui Guo1
1College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China.
Abstract:
Yunnan hulled wheat (YHW) is a wild ancestor of cultivated wheat and possesses rich genetic variation; however, there is limited research on teff at the molecular level. Therefore, in this study, two lines with large differences in kernel size were used as materials, and their kernels were sampled at 7, 21, 35, and 49 days after flowering; kernel surface area and thousand kernel weight were measured and analyzed; and transcriptome sequencing analysis was also performed, which showed that a total of 88,801 genes were annotated by Kyoto Encyclopedia of Genes and Genomes (KEGG); the functional annotation showed that the key pathways they involved in yield traits were mainly enriched in gycolysis/gluconeogenesis, pentose and glucuronate interconversions, amino sugar and nucleotide sugar metabolism, starch, and sucrose metabolism pathways, of which TraesCS5B02G356300, TraesCS7B02G375300, TraesCS7A02G473900, and TraesCS2B02G390700 differed significantly in different subgroups; and a significant difference was observed between the two pathways in different subgroups using weighted gene co-expression network analysis (WGCNA) associated with yield traits. Ten core genes were mined from the two modules with the highest correlation with the target traits. These results provide a theoretical reference basis for interpreting the expression patterns of yield trait-responsive genes in YHW, for further conservation and utilization of the germplasm resources of this rare wheat, and for the screening of high-yielding superior varieties.

